Overview

Dataset statistics

Number of variables	24
Number of observations	2059
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	386.2 KiB
Average record size in memory	192.1 B

Variable types

Categorical	7
Text	2
Numeric	15

Alerts

`Age of Car` is highly overall correlated with `Kilometer` and 2 other fields	High correlation
`Drivetrain` is highly overall correlated with `Engine` and 6 other fields	High correlation
`Engine` is highly overall correlated with `Drivetrain` and 11 other fields	High correlation
`Fuel Tank Capacity` is highly overall correlated with `Drivetrain` and 10 other fields	High correlation
`Height` is highly overall correlated with `Make` and 1 other fields	High correlation
`Kilometer` is highly overall correlated with `Age of Car` and 1 other fields	High correlation
`Length` is highly overall correlated with `Engine` and 7 other fields	High correlation
`Make` is highly overall correlated with `Drivetrain` and 6 other fields	High correlation
`Max Power bhp` is highly overall correlated with `Drivetrain` and 10 other fields	High correlation
`Max Power rpm` is highly overall correlated with `Engine` and 5 other fields	High correlation
`Max Torque Nm` is highly overall correlated with `Drivetrain` and 11 other fields	High correlation
`Max Torque rpm` is highly overall correlated with `Engine` and 8 other fields	High correlation
`Price` is highly overall correlated with `Age of Car` and 10 other fields	High correlation
`Seating Capacity` is highly overall correlated with `Height`	High correlation
`Transmission` is highly overall correlated with `Engine` and 7 other fields	High correlation
`Volume` is highly overall correlated with `Drivetrain` and 9 other fields	High correlation
`Width` is highly overall correlated with `Drivetrain` and 10 other fields	High correlation
`Year` is highly overall correlated with `Age of Car` and 2 other fields	High correlation
`Fuel Type` is highly imbalanced (61.5%)	Imbalance
`Owner` is highly imbalanced (64.4%)	Imbalance
`Seller Type` is highly imbalanced (86.9%)	Imbalance

Reproduction

Analysis started	2025-12-07 05:46:28.160303
Analysis finished	2025-12-07 05:49:23.806793
Duration	2 minutes and 55.65 seconds
Software version	ydata-profiling vv4.18.0
Download configuration	config.json

Make
Categorical

High correlation

Distinct	33
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Maruti Suzuki	440
Hyundai	349
Mercedes-Benz	171
Honda	158
Toyota	132
Other values (28)	809

Length

Max length	13
Median length	10
Mean length	7.9791161
Min length	2

Characters and Unicode

Total characters	16429
Distinct characters	44
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Honda
2nd row	Maruti Suzuki
3rd row	Hyundai
4th row	Toyota
5th row	Toyota

Common Values

Value	Count	Frequency (%)
Maruti Suzuki	440	21.4%
Hyundai	349	16.9%
Mercedes-Benz	171	8.3%
Honda	158	7.7%
Toyota	132	6.4%
Audi	127	6.2%
BMW	121	5.9%
Mahindra	119	5.8%
Tata	57	2.8%
Volkswagen	50	2.4%
Other values (23)	335	16.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
maruti	440	17.4%
suzuki	440	17.4%
hyundai	349	13.8%
mercedes-benz	171	6.8%
honda	158	6.2%
toyota	132	5.2%
audi	127	5.0%
bmw	121	4.8%
mahindra	119	4.7%
tata	57	2.3%
Other values (25)	418	16.5%

Most occurring characters

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16429	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16429	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16429	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
u	1878	11.4%
a	1687	10.3%
i	1532	9.3%
d	1045	6.4%
n	954	5.8%
e	886	5.4%
M	884	5.4%
r	855	5.2%
t	694	4.2%
o	657	4.0%
Other values (34)	5357	32.6%

Model
Text

Distinct	1050
Distinct (%)	51.0%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Length

Max length	50
Median length	38
Mean length	21.155415
Min length	4

Characters and Unicode

Total characters	43559
Distinct characters	72
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	613 ?
Unique (%)	29.8%

Sample

1st row	Amaze 1.2 VX i-VTEC
2nd row	Swift DZire VDI
3rd row	i10 Magna 1.2 Kappa2
4th row	Glanza G
5th row	Innova 2.4 VX 7 STR [2016-2020]

Value	Count	Frequency (%)
at	247	2.9%
1.2	176	2.1%
plus	170	2.0%
petrol	134	1.6%
sx	133	1.6%
vxi	131	1.5%
tdi	123	1.4%
1.6	120	1.4%
diesel	115	1.4%
o	107	1.3%
Other values (650)	7038	82.9%

Most occurring characters

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	43559	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	43559	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	43559	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	6439	14.8%
i	2039	4.7%
e	1885	4.3%
0	1806	4.1%
2	1765	4.1%
r	1651	3.8%
a	1546	3.5%
o	1442	3.3%
1	1369	3.1%
t	1347	3.1%
Other values (62)	22270	51.1%

Price
Real number (ℝ)

High correlation

Distinct	567
Distinct (%)	27.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1596608

Minimum	195000
Maximum	8084000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	195000
5-th percentile	250000
Q1	484999
median	825000
Q3	1925000
95-th percentile	5900000
Maximum	8084000
Range	7889000
Interquartile range (IQR)	1440001

Descriptive statistics

Standard deviation	1778805.3
Coefficient of variation (CV)	1.1141153
Kurtosis	3.7045726
Mean	1596608
Median Absolute Deviation (MAD)	465000
Skewness	2.0228591
Sum	3.2874159 × 10⁹
Variance	3.1641484 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
195000	45	2.2%
8084000	42	2.0%
425000	26	1.3%
625000	24	1.2%
650000	22	1.1%
375000	20	1.0%
450000	20	1.0%
675000	19	0.9%
550000	19	0.9%
250000	19	0.9%
Other values (557)	1803	87.6%

Value	Count	Frequency (%)
195000	45	2.2%
198000	1	< 0.1%
199000	1	< 0.1%
200000	4	0.2%
204999	1	< 0.1%
210000	4	0.2%
215000	1	< 0.1%
218000	1	< 0.1%
220000	4	0.2%
225000	7	0.3%

Value	Count	Frequency (%)
8084000	42	2.0%
8000000	1	< 0.1%
7998999	1	< 0.1%
7990000	1	< 0.1%
7900000	1	< 0.1%
7780000	1	< 0.1%
7700000	1	< 0.1%
7500000	3	0.1%
7475000	2	0.1%
7390000	1	< 0.1%

Year
Real number (ℝ)

High correlation

Distinct	22
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2016.4254

Minimum	1988
Maximum	2022
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	1988
5-th percentile	2011
Q1	2014
median	2017
Q3	2019
95-th percentile	2021
Maximum	2022
Range	34
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3635636
Coefficient of variation (CV)	0.0016680823
Kurtosis	2.9266435
Mean	2016.4254
Median Absolute Deviation (MAD)	2
Skewness	-0.84068453
Sum	4151820
Variance	11.31356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
2018	268	13.0%
2017	262	12.7%
2019	218	10.6%
2014	192	9.3%
2016	187	9.1%
2015	178	8.6%
2021	156	7.6%
2020	132	6.4%
2013	128	6.2%
2012	92	4.5%
Other values (12)	246	11.9%

Value	Count	Frequency (%)
1988	1	< 0.1%
1996	1	< 0.1%
2000	1	< 0.1%
2002	1	< 0.1%
2004	1	< 0.1%
2006	2	0.1%
2007	6	0.3%
2008	13	0.6%
2009	33	1.6%
2010	27	1.3%

Value	Count	Frequency (%)
2022	81	3.9%
2021	156	7.6%
2020	132	6.4%
2019	218	10.6%
2018	268	13.0%
2017	262	12.7%
2016	187	9.1%
2015	178	8.6%
2014	192	9.3%
2013	128	6.2%

Kilometer
Real number (ℝ)

High correlation

Distinct	779
Distinct (%)	37.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52247.446

Minimum	4416
Maximum	130000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	4416
5-th percentile	8000
Q1	29000
median	50000
Q3	72000
95-th percentile	107991.1
Maximum	130000
Range	125584
Interquartile range (IQR)	43000

Descriptive statistics

Standard deviation	29767.999
Coefficient of variation (CV)	0.56975033
Kurtosis	-0.21143892
Mean	52247.446
Median Absolute Deviation (MAD)	22000
Skewness	0.47520279
Sum	1.0757749 × 10⁸
Variance	8.8613379 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
130000	43	2.1%
4416	42	2.0%
65000	33	1.6%
72000	32	1.6%
50000	29	1.4%
75000	29	1.4%
45000	29	1.4%
42000	28	1.4%
70000	26	1.3%
55000	26	1.3%
Other values (769)	1742	84.6%

Value	Count	Frequency (%)
4416	42	2.0%
4500	2	0.1%
4600	2	0.1%
5000	6	0.3%
5500	2	0.1%
5600	1	< 0.1%
5750	1	< 0.1%
5790	1	< 0.1%
5800	1	< 0.1%
5923	1	< 0.1%

Value	Count	Frequency (%)
130000	43	2.1%
128000	1	< 0.1%
127000	1	< 0.1%
126535	1	< 0.1%
126000	1	< 0.1%
125372	1	< 0.1%
125000	5	0.2%
124000	1	< 0.1%
123000	1	< 0.1%
122000	2	0.1%

Fuel Type
Categorical

Imbalance

Distinct	9
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Diesel	1049
Petrol	942
CNG	50
Electric	7
LPG	5
Other values (4)	6

Length

Max length	12
Median length	6
Mean length	5.9339485
Min length	3

Characters and Unicode

Total characters	12218
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Petrol
2nd row	Diesel
3rd row	Petrol
4th row	Petrol
5th row	Diesel

Common Values

Value	Count	Frequency (%)
Diesel	1049	50.9%
Petrol	942	45.8%
CNG	50	2.4%
Electric	7	0.3%
LPG	5	0.2%
Hybrid	3	0.1%
CNG + CNG	1	< 0.1%
Petrol + CNG	1	< 0.1%
Petrol + LPG	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
diesel	1049	50.8%
petrol	944	45.7%
cng	53	2.6%
electric	7	0.3%
lpg	6	0.3%
hybrid	3	0.1%
	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12218	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12218	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12218	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3049	25.0%
l	2000	16.4%
i	1059	8.7%
D	1049	8.6%
s	1049	8.6%
r	954	7.8%
t	951	7.8%
P	950	7.8%
o	944	7.7%
G	59	0.5%
Other values (11)	154	1.3%

Transmission
Categorical

High correlation

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Manual	1133
Automatic	926

Length

Max length	9
Median length	6
Mean length	7.3491986
Min length	6

Characters and Unicode

Total characters	15132
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Manual
2nd row	Manual
3rd row	Manual
4th row	Manual
5th row	Manual

Common Values

Value	Count	Frequency (%)
Manual	1133	55.0%
Automatic	926	45.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
manual	1133	55.0%
automatic	926	45.0%

Most occurring characters

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15132	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3192	21.1%
u	2059	13.6%
t	1852	12.2%
M	1133	7.5%
n	1133	7.5%
l	1133	7.5%
A	926	6.1%
o	926	6.1%
m	926	6.1%
i	926	6.1%

Location
Text

Distinct	77
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Length

Max length	16
Median length	11
Mean length	6.7304517
Min length	3

Characters and Unicode

Total characters	13858
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.2%

Sample

1st row	Pune
2nd row	Ludhiana
3rd row	Lucknow
4th row	Mangalore
5th row	Mumbai

Value	Count	Frequency (%)
mumbai	361	17.2%
delhi	307	14.7%
pune	144	6.9%
bangalore	132	6.3%
hyderabad	116	5.5%
lucknow	78	3.7%
ahmedabad	70	3.3%
chennai	63	3.0%
kolkata	60	2.9%
kanpur	52	2.5%
Other values (70)	711	34.0%

Most occurring characters

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13858	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13858	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13858	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2299	16.6%
i	1100	7.9%
e	982	7.1%
u	898	6.5%
n	892	6.4%
h	751	5.4%
r	725	5.2%
d	636	4.6%
l	634	4.6%
b	631	4.6%
Other values (39)	4310	31.1%

Color
Categorical

Distinct	17
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

White	802
Silver	285
Grey	220
Blue	190
Black	163
Other values (12)	399

Length

Max length	6
Median length	5
Mean length	4.8266149
Min length	3

Characters and Unicode

Total characters	9938
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Grey
2nd row	White
3rd row	Maroon
4th row	Red
5th row	Grey

Common Values

Value	Count	Frequency (%)
White	802	39.0%
Silver	285	13.8%
Grey	220	10.7%
Blue	190	9.2%
Black	163	7.9%
Red	154	7.5%
Brown	82	4.0%
Maroon	37	1.8%
Gold	30	1.5%
Bronze	28	1.4%
Other values (7)	68	3.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
white	802	39.0%
silver	285	13.8%
grey	220	10.7%
blue	190	9.2%
black	163	7.9%
red	154	7.5%
brown	82	4.0%
maroon	37	1.8%
gold	30	1.5%
bronze	28	1.4%
Other values (7)	68	3.3%

Most occurring characters

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9938	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9938	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9938	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1771	17.8%
i	1096	11.0%
t	814	8.2%
h	814	8.2%
W	802	8.1%
r	702	7.1%
l	691	7.0%
B	471	4.7%
S	285	2.9%
v	285	2.9%
Other values (19)	2207	22.2%

Owner
Categorical

Imbalance

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

First	1619
Second	373
Third	42
UnRegistered Car	21
Fourth	3

Length

Max length	16
Median length	5
Mean length	5.296746
Min length	5

Characters and Unicode

Total characters	10906
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	First
2nd row	Second
3rd row	First
4th row	First
5th row	First

Common Values

Value	Count	Frequency (%)
First	1619	78.6%
Second	373	18.1%
Third	42	2.0%
UnRegistered Car	21	1.0%
Fourth	3	0.1%
4 or More	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
first	1619	77.8%
second	373	17.9%
third	42	2.0%
unregistered	21	1.0%
car	21	1.0%
fourth	3	0.1%
4	1	< 0.1%
or	1	< 0.1%
more	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10906	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10906	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10906	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	1708	15.7%
i	1682	15.4%
t	1643	15.1%
s	1640	15.0%
F	1622	14.9%
e	437	4.0%
d	436	4.0%
n	394	3.6%
o	378	3.5%
S	373	3.4%
Other values (12)	593	5.4%

Seller Type
Categorical

Imbalance

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

Individual	1997
Corporate	57
Commercial Registration	5

Length

Max length	23
Median length	10
Mean length	10.003885
Min length	9

Characters and Unicode

Total characters	20598
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Corporate
2nd row	Individual
3rd row	Individual
4th row	Individual
5th row	Individual

Common Values

Value	Count	Frequency (%)
Individual	1997	97.0%
Corporate	57	2.8%
Commercial Registration	5	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
individual	1997	96.8%
corporate	57	2.8%
commercial	5	0.2%
registration	5	0.2%

Most occurring characters

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20598	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20598	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20598	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	4009	19.5%
d	3994	19.4%
a	2064	10.0%
l	2002	9.7%
n	2002	9.7%
I	1997	9.7%
v	1997	9.7%
u	1997	9.7%
o	124	0.6%
r	124	0.6%
Other values (10)	288	1.4%

Engine
Real number (ℝ)

High correlation

Distinct	108
Distinct (%)	5.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1685.0155

Minimum	624
Maximum	6592
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	624
5-th percentile	998
Q1	1198
median	1498
Q3	1995
95-th percentile	2987
Maximum	6592
Range	5968
Interquartile range (IQR)	797

Descriptive statistics

Standard deviation	632.22009
Coefficient of variation (CV)	0.37520134
Kurtosis	7.1831544
Mean	1685.0155
Median Absolute Deviation (MAD)	301
Skewness	1.8154107
Sum	3469447
Variance	399702.24
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1197	231	11.2%
1498	144	7.0%
1248	122	5.9%
998	121	5.9%
1497	84	4.1%
1995	82	4.0%
1968	82	4.0%
2179	73	3.5%
1582	56	2.7%
2143	51	2.5%
Other values (98)	1013	49.2%

Value	Count	Frequency (%)
624	1	< 0.1%
793	1	< 0.1%
796	30	1.5%
799	10	0.5%
814	13	0.6%
936	1	< 0.1%
995	1	< 0.1%
998	121	5.9%
999	31	1.5%
1047	2	0.1%

Value	Count	Frequency (%)
6592	3	0.1%
5461	1	< 0.1%
5204	1	< 0.1%
4951	2	0.1%
4806	1	< 0.1%
4663	2	0.1%
4163	2	0.1%
3982	1	< 0.1%
3902	1	< 0.1%
3498	3	0.1%

Drivetrain
Categorical

High correlation

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	16.2 KiB

FWD	1466
RWD	321
AWD	272

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6177
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FWD
2nd row	FWD
3rd row	FWD
4th row	FWD
5th row	RWD

Common Values

Value	Count	Frequency (%)
FWD	1466	71.2%
RWD	321	15.6%
AWD	272	13.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fwd	1466	71.2%
rwd	321	15.6%
awd	272	13.2%

Most occurring characters

Value	Count	Frequency (%)
W	2059	33.3%
D	2059	33.3%
F	1466	23.7%
R	321	5.2%
A	272	4.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6177	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
W	2059	33.3%
D	2059	33.3%
F	1466	23.7%
R	321	5.2%
A	272	4.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6177	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
W	2059	33.3%
D	2059	33.3%
F	1466	23.7%
R	321	5.2%
A	272	4.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6177	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
W	2059	33.3%
D	2059	33.3%
F	1466	23.7%
R	321	5.2%
A	272	4.4%

Length
Real number (ℝ)

High correlation

Distinct	248
Distinct (%)	12.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4283.6314

Minimum	3099
Maximum	5569
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	3099
5-th percentile	3565
Q1	3986
median	4370
Q3	4620
95-th percentile	4936
Maximum	5569
Range	2470
Interquartile range (IQR)	634

Descriptive statistics

Standard deviation	435.79913
Coefficient of variation (CV)	0.10173591
Kurtosis	-0.75525928
Mean	4283.6314
Median Absolute Deviation (MAD)	375
Skewness	-0.0406491
Sum	8819997
Variance	189920.88
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3995	221	10.7%
4370	96	4.7%
4440	70	3.4%
4270	57	2.8%
3985	55	2.7%
4456	44	2.1%
3850	42	2.0%
3765	40	1.9%
4585	39	1.9%
4490	36	1.7%
Other values (238)	1359	66.0%

Value	Count	Frequency (%)
3099	1	< 0.1%
3395	20	1.0%
3429	4	0.2%
3445	2	0.1%
3495	23	1.1%
3515	4	0.2%
3520	4	0.2%
3539	13	0.6%
3545	11	0.5%
3565	25	1.2%

Value	Count	Frequency (%)
5569	2	0.1%
5462	1	< 0.1%
5453	1	< 0.1%
5399	1	< 0.1%
5265	1	< 0.1%
5255	1	< 0.1%
5252	3	0.1%
5247	1	< 0.1%
5246	5	0.2%
5226	3	0.1%

Width
Real number (ℝ)

High correlation

Distinct	170
Distinct (%)	8.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1768.0544

Minimum	1475
Maximum	2220
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	1475
5-th percentile	1495
Q1	1695
median	1770
Q3	1831
95-th percentile	2031.1
Maximum	2220
Range	745
Interquartile range (IQR)	136

Descriptive statistics

Standard deviation	133.14641
Coefficient of variation (CV)	0.075306739
Kurtosis	1.0219556
Mean	1768.0544
Median Absolute Deviation (MAD)	75
Skewness	0.3118235
Sum	3640424
Variance	17727.967
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1695	201	9.8%
1770	93	4.5%
1780	62	3.0%
1790	61	3.0%
1680	51	2.5%
1660	51	2.5%
1475	49	2.4%
1890	49	2.4%
1820	46	2.2%
1745	46	2.2%
Other values (160)	1350	65.6%

Value	Count	Frequency (%)
1475	49	2.4%
1490	31	1.5%
1495	29	1.4%
1500	3	0.1%
1515	2	0.1%
1520	6	0.3%
1525	7	0.3%
1550	14	0.7%
1560	4	0.2%
1579	24	1.2%

Value	Count	Frequency (%)
2220	4	0.2%
2183	1	< 0.1%
2173	1	< 0.1%
2157	8	0.4%
2155	1	< 0.1%
2141	19	0.9%
2139	1	< 0.1%
2120	9	0.4%
2110	1	< 0.1%
2105	1	< 0.1%

Height
Real number (ℝ)

High correlation

Distinct	196
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1590.2827

Minimum	1165
Maximum	1995
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	1165
5-th percentile	1433
Q1	1485
median	1545
Q3	1672
95-th percentile	1844
Maximum	1995
Range	830
Interquartile range (IQR)	187

Descriptive statistics

Standard deviation	134.18687
Coefficient of variation (CV)	0.08437926
Kurtosis	0.14706665
Mean	1590.2827
Median Absolute Deviation (MAD)	76
Skewness	0.87762518
Sum	3274392
Variance	18006.117
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1475	88	4.3%
1505	80	3.9%
1545	80	3.9%
1530	63	3.1%
1520	61	3.0%
1495	58	2.8%
1640	56	2.7%
1500	51	2.5%
1485	46	2.2%
1555	44	2.1%
Other values (186)	1432	69.5%

Value	Count	Frequency (%)
1165	1	< 0.1%
1213	1	< 0.1%
1281	2	0.1%
1295	1	< 0.1%
1297	1	< 0.1%
1304	1	< 0.1%
1353	1	< 0.1%
1366	2	0.1%
1370	1	< 0.1%
1391	2	0.1%

Value	Count	Frequency (%)
1995	20	1.0%
1975	10	0.5%
1940	2	0.1%
1930	9	0.4%
1925	1	< 0.1%
1922	5	0.2%
1920	2	0.1%
1901	1	< 0.1%
1900	1	< 0.1%
1895	3	0.1%

Seating Capacity
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.296746

Minimum	2
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	2
5-th percentile	5
Q1	5
median	5
Q3	5
95-th percentile	7
Maximum	8
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.81102947
Coefficient of variation (CV)	0.15311844
Kurtosis	2.7748654
Mean	5.296746
Median Absolute Deviation (MAD)	0
Skewness	1.5153808
Sum	10906
Variance	0.6577688
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
5	1679	81.5%
7	273	13.3%
4	42	2.0%
8	35	1.7%
6	23	1.1%
2	7	0.3%

Value	Count	Frequency (%)
2	7	0.3%
4	42	2.0%
5	1679	81.5%
6	23	1.1%
7	273	13.3%
8	35	1.7%

Value	Count	Frequency (%)
8	35	1.7%
7	273	13.3%
6	23	1.1%
5	1679	81.5%
4	42	2.0%
2	7	0.3%

Fuel Tank Capacity
Real number (ℝ)

High correlation

Distinct	55
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.892326

Minimum	15
Maximum	105
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	15
5-th percentile	35
Q1	42
median	50
Q3	60
95-th percentile	80
Maximum	105
Range	90
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	14.696588
Coefficient of variation (CV)	0.28321313
Kurtosis	0.56977357
Mean	51.892326
Median Absolute Deviation (MAD)	10
Skewness	0.89842882
Sum	106846.3
Variance	215.9897
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50	245	11.9%
35	222	10.8%
60	155	7.5%
45	154	7.5%
43	146	7.1%
55	117	5.7%
42	111	5.4%
40	106	5.1%
80	92	4.5%
37	89	4.3%
Other values (45)	622	30.2%

Value	Count	Frequency (%)
15	1	< 0.1%
27	5	0.2%
28	30	1.5%
32	27	1.3%
35	222	10.8%
37	89	4.3%
38	1	< 0.1%
40	106	5.1%
41	6	0.3%
42	111	5.4%

Value	Count	Frequency (%)
105	3	0.1%
104	1	< 0.1%
100	15	0.7%
95	2	0.1%
93	18	0.9%
92	1	< 0.1%
90	10	0.5%
85	5	0.2%
83	6	0.3%
82.5	3	0.1%

Max Power bhp
Real number (ℝ)

High correlation

Distinct	166
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	129.0829

Minimum	35
Maximum	660
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	35
5-th percentile	67
Q1	83
median	116
Q3	169
95-th percentile	248
Maximum	660
Range	625
Interquartile range (IQR)	86

Descriptive statistics

Standard deviation	63.850696
Coefficient of variation (CV)	0.49464874
Kurtosis	9.0673137
Mean	129.0829
Median Absolute Deviation (MAD)	34
Skewness	2.1317097
Sum	265781.7
Variance	4076.9113
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
89	139	6.8%
67	98	4.8%
116	90	4.4%
82	62	3.0%
74	61	3.0%
83	55	2.7%
126	55	2.7%
174	49	2.4%
177	48	2.3%
188	43	2.1%
Other values (156)	1359	66.0%

Value	Count	Frequency (%)
35	1	< 0.1%
39	2	0.1%
46	3	0.1%
47	27	1.3%
48	1	< 0.1%
53	10	0.5%
55	11	0.5%
56	2	0.1%
58	27	1.3%
59	5	0.2%

Value	Count	Frequency (%)
660	1	< 0.1%
602	1	< 0.1%
570	3	0.1%
500	1	< 0.1%
463	1	< 0.1%
453	2	0.1%
444	2	0.1%
396	2	0.1%
385	1	< 0.1%
368	1	< 0.1%

Max Power rpm
Real number (ℝ)

High correlation

Distinct	40
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4809.1841

Minimum	2910
Maximum	8250
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	2910
5-th percentile	3500
Q1	4000
median	4200
Q3	6000
95-th percentile	6400
Maximum	8250
Range	5340
Interquartile range (IQR)	2000

Descriptive statistics

Standard deviation	1082.0616
Coefficient of variation (CV)	0.224999
Kurtosis	-1.4312561
Mean	4809.1841
Median Absolute Deviation (MAD)	800
Skewness	0.27356675
Sum	9902110
Variance	1170857.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
4000	458	22.2%
6000	436	21.2%
4200	153	7.4%
3750	143	6.9%
5500	113	5.5%
3600	97	4.7%
3800	79	3.8%
6200	76	3.7%
6600	68	3.3%
3400	62	3.0%
Other values (30)	374	18.2%

Value	Count	Frequency (%)
2910	8	0.4%
3000	16	0.8%
3200	11	0.5%
3400	62	3.0%
3500	47	2.3%
3600	97	4.7%
3700	3	0.1%
3750	143	6.9%
3800	79	3.8%
3900	8	0.4%

Value	Count	Frequency (%)
8250	3	0.1%
8000	1	< 0.1%
7400	1	< 0.1%
6600	68	3.3%
6500	14	0.7%
6400	35	1.7%
6300	32	1.6%
6250	4	0.2%
6200	76	3.7%
6100	1	< 0.1%

Max Torque Nm
Real number (ℝ)

High correlation

Distinct	141
Distinct (%)	6.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	244.06953

Minimum	48
Maximum	780
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	48
5-th percentile	90
Q1	115
median	200
Q3	343
95-th percentile	500
Maximum	780
Range	732
Interquartile range (IQR)	228

Descriptive statistics

Standard deviation	137.99343
Coefficient of variation (CV)	0.56538573
Kurtosis	0.37182314
Mean	244.06953
Median Absolute Deviation (MAD)	87
Skewness	0.9298591
Sum	502539.17
Variance	19042.187
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
200	205	10.0%
400	114	5.5%
115	84	4.1%
114	76	3.7%
90	73	3.5%
250	71	3.4%
380	67	3.3%
190	64	3.1%
350	64	3.1%
320	60	2.9%
Other values (131)	1181	57.4%

Value	Count	Frequency (%)
48	1	< 0.1%
54	2	0.1%
62	6	0.3%
69	22	1.1%
72	10	0.5%
75	13	0.6%
77	20	1.0%
78	8	0.4%
84	7	0.3%
85	2	0.1%

Value	Count	Frequency (%)
780	3	0.1%
760	1	< 0.1%
700	6	0.3%
689	1	< 0.1%
620	17	0.8%
619	8	0.4%
600	22	1.1%
580	1	< 0.1%
560	23	1.1%
550	8	0.4%

Max Torque rpm
Real number (ℝ)

High correlation

Distinct	55
Distinct (%)	2.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2591.5881

Minimum	150
Maximum	6500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	150
5-th percentile	1400
Q1	1600
median	1900
Q3	4000
95-th percentile	4600
Maximum	6500
Range	6350
Interquartile range (IQR)	2400

Descriptive statistics

Standard deviation	1190.7864
Coefficient of variation (CV)	0.45948132
Kurtosis	-1.292422
Mean	2591.5881
Median Absolute Deviation (MAD)	400
Skewness	0.59881066
Sum	5336080
Variance	1417972.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1750	387	18.8%
4000	251	12.2%
1500	205	10.0%
1600	166	8.1%
3500	146	7.1%
1900	135	6.6%
2000	109	5.3%
1400	87	4.2%
4600	56	2.7%
4200	55	2.7%
Other values (45)	462	22.4%

Value	Count	Frequency (%)
150	1	< 0.1%
1200	30	1.5%
1250	24	1.2%
1300	3	0.1%
1340	2	0.1%
1350	4	0.2%
1360	1	< 0.1%
1370	2	0.1%
1400	87	4.2%
1450	11	0.5%

Value	Count	Frequency (%)
6500	1	< 0.1%
5600	1	< 0.1%
5000	3	0.1%
4850	25	1.2%
4800	39	1.9%
4750	1	< 0.1%
4700	3	0.1%
4600	56	2.7%
4500	53	2.6%
4400	36	1.7%

Age of Car
Real number (ℝ)

High correlation

Distinct	22
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.5745508

Minimum	3
Maximum	37
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	3
5-th percentile	4
Q1	6
median	8
Q3	11
95-th percentile	14
Maximum	37
Range	34
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.3635636
Coefficient of variation (CV)	0.39227286
Kurtosis	2.9266435
Mean	8.5745508
Median Absolute Deviation (MAD)	2
Skewness	0.84068453
Sum	17655
Variance	11.31356
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
7	268	13.0%
8	262	12.7%
6	218	10.6%
11	192	9.3%
9	187	9.1%
10	178	8.6%
4	156	7.6%
5	132	6.4%
12	128	6.2%
13	92	4.5%
Other values (12)	246	11.9%

Value	Count	Frequency (%)
3	81	3.9%
4	156	7.6%
5	132	6.4%
6	218	10.6%
7	268	13.0%
8	262	12.7%
9	187	9.1%
10	178	8.6%
11	192	9.3%
12	128	6.2%

Value	Count	Frequency (%)
37	1	< 0.1%
29	1	< 0.1%
25	1	< 0.1%
23	1	< 0.1%
21	1	< 0.1%
19	2	0.1%
18	6	0.3%
17	13	0.6%
16	33	1.6%
15	27	1.3%

Volume
Real number (ℝ)

High correlation

Distinct	347
Distinct (%)	16.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2153998 × 10¹⁰

Minimum	7.4613612 × 10⁹
Maximum	2.1236875 × 10¹⁰
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	16.2 KiB

Quantile statistics

Minimum	7.4613612 × 10⁹
5-th percentile	8.5859104 × 10⁹
Q1	1.0344445 × 10¹⁰
median	1.1727722 × 10¹⁰
Q3	1.3481387 × 10¹⁰
95-th percentile	1.6684498 × 10¹⁰
Maximum	2.1236875 × 10¹⁰
Range	1.3775514 × 10¹⁰
Interquartile range (IQR)	3.1369423 × 10⁹

Descriptive statistics

Standard deviation	2.5343121 × 10⁹
Coefficient of variation (CV)	0.20851675
Kurtosis	-0.10164928
Mean	1.2153998 × 10¹⁰
Median Absolute Deviation (MAD)	1.639406 × 10⁹
Skewness	0.59052571
Sum	2.5025081 × 10¹³
Variance	6.4227378 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.1727722 × 10¹⁰	103	5.0%
1.1251071 × 10¹⁰	54	2.6%
9499848000	40	1.9%
9984397500	39	1.9%
1.2388978 × 10¹⁰	39	1.9%
1.039953495 × 10¹⁰	35	1.7%
1.052972138 × 10¹⁰	35	1.7%
1.555376475 × 10¹⁰	34	1.7%
1.15350345 × 10¹⁰	33	1.6%
1.04569125 × 10¹⁰	30	1.5%
Other values (337)	1617	78.5%

Value	Count	Frequency (%)
7461361250	20	1.0%
7526482500	8	0.4%
7653724260	1	< 0.1%
7698283125	2	0.1%
7791023750	11	0.5%
7795670000	10	0.5%
7931587950	1	< 0.1%
7961475000	3	0.1%
8125875000	13	0.6%
8226857500	1	< 0.1%

Value	Count	Frequency (%)
2.12368752 × 10¹⁰	1	< 0.1%
2.047502268 × 10¹⁰	3	0.1%
2.044142256 × 10¹⁰	1	< 0.1%
2.03644263 × 10¹⁰	2	0.1%
1.883875792 × 10¹⁰	1	< 0.1%
1.88205325 × 10¹⁰	5	0.2%
1.867657573 × 10¹⁰	1	< 0.1%
1.859511 × 10¹⁰	1	< 0.1%
1.853019228 × 10¹⁰	12	0.6%
1.847251374 × 10¹⁰	7	0.3%

Interactions

Correlations

	Age of Car	Color	Drivetrain	Engine	Fuel Tank Capacity	Fuel Type	Height	Kilometer	Length	Make	Max Power bhp	Max Power rpm	Max Torque Nm	Max Torque rpm	Owner	Price	Seating Capacity	Seller Type	Transmission	Volume	Width	Year
Age of Car	1.000	0.192	0.054	-0.038	-0.096	0.359	-0.138	0.602	-0.097	0.088	-0.165	0.055	-0.124	0.160	0.193	-0.520	0.003	0.000	0.165	-0.173	-0.210	-1.000
Color	0.192	1.000	0.188	0.109	0.101	0.072	0.116	0.058	0.098	0.139	0.106	0.091	0.105	0.088	0.000	0.106	0.102	0.000	0.258	0.104	0.116	0.192
Drivetrain	0.054	0.188	1.000	0.566	0.560	0.281	0.484	0.112	0.468	0.605	0.536	0.351	0.595	0.346	0.066	0.465	0.367	0.002	0.429	0.578	0.525	0.054
Engine	-0.038	0.109	0.566	1.000	0.833	0.239	0.219	0.118	0.858	0.526	0.882	-0.573	0.891	-0.534	0.122	0.719	0.344	0.058	0.524	0.866	0.834	0.038
Fuel Tank Capacity	-0.096	0.101	0.560	0.833	1.000	0.181	0.264	0.077	0.802	0.428	0.824	-0.538	0.851	-0.558	0.046	0.725	0.302	0.000	0.515	0.864	0.859	0.096
Fuel Type	0.359	0.072	0.281	0.239	0.181	1.000	0.167	0.123	0.198	0.256	0.155	0.333	0.268	0.300	0.116	0.136	0.139	0.000	0.206	0.207	0.237	0.359
Height	-0.138	0.116	0.484	0.219	0.264	0.167	1.000	0.082	0.063	0.534	0.071	-0.295	0.177	-0.228	0.056	0.128	0.561	0.070	0.306	0.466	0.286	0.138
Kilometer	0.602	0.058	0.112	0.118	0.077	0.123	0.082	1.000	0.057	0.112	-0.040	-0.214	0.079	-0.060	0.147	-0.279	0.195	0.000	0.181	0.070	-0.005	-0.602
Length	-0.097	0.098	0.468	0.858	0.802	0.198	0.063	0.057	1.000	0.443	0.887	-0.454	0.840	-0.475	0.078	0.746	0.318	0.081	0.563	0.868	0.839	0.097
Make	0.088	0.139	0.605	0.526	0.428	0.256	0.534	0.112	0.443	1.000	0.590	0.455	0.523	0.507	0.087	0.353	0.435	0.137	0.678	0.373	0.411	0.088
Max Power bhp	-0.165	0.106	0.536	0.882	0.824	0.155	0.071	-0.040	0.887	0.590	1.000	-0.411	0.903	-0.516	0.092	0.831	0.153	0.085	0.650	0.832	0.872	0.165
Max Power rpm	0.055	0.091	0.351	-0.573	-0.538	0.333	-0.295	-0.214	-0.454	0.455	-0.411	1.000	-0.697	0.725	0.070	-0.419	-0.374	0.103	0.261	-0.567	-0.552	-0.055
Max Torque Nm	-0.124	0.105	0.595	0.891	0.851	0.268	0.177	0.079	0.840	0.523	0.903	-0.697	1.000	-0.702	0.076	0.792	0.244	0.057	0.571	0.853	0.892	0.124
Max Torque rpm	0.160	0.088	0.346	-0.534	-0.558	0.300	-0.228	-0.060	-0.475	0.507	-0.516	0.725	-0.702	1.000	0.055	-0.541	-0.259	0.085	0.299	-0.569	-0.588	-0.160
Owner	0.193	0.000	0.066	0.122	0.046	0.116	0.056	0.147	0.078	0.087	0.092	0.070	0.076	0.055	1.000	0.085	0.043	0.000	0.078	0.062	0.043	0.193
Price	-0.520	0.106	0.465	0.719	0.725	0.136	0.128	-0.279	0.746	0.353	0.831	-0.419	0.792	-0.541	0.085	1.000	0.138	0.099	0.678	0.747	0.812	0.520
Seating Capacity	0.003	0.102	0.367	0.344	0.302	0.139	0.561	0.195	0.318	0.435	0.153	-0.374	0.244	-0.259	0.043	0.138	1.000	0.000	0.143	0.477	0.277	-0.003
Seller Type	0.000	0.000	0.002	0.058	0.000	0.000	0.070	0.000	0.081	0.137	0.085	0.103	0.057	0.085	0.000	0.099	0.000	1.000	0.108	0.034	0.034	0.000
Transmission	0.165	0.258	0.429	0.524	0.515	0.206	0.306	0.181	0.563	0.678	0.650	0.261	0.571	0.299	0.078	0.678	0.143	0.108	1.000	0.438	0.563	0.165
Volume	-0.173	0.104	0.578	0.866	0.864	0.207	0.466	0.070	0.868	0.373	0.832	-0.567	0.853	-0.569	0.062	0.747	0.477	0.034	0.438	1.000	0.927	0.173
Width	-0.210	0.116	0.525	0.834	0.859	0.237	0.286	-0.005	0.839	0.411	0.872	-0.552	0.892	-0.588	0.043	0.812	0.277	0.034	0.563	0.927	1.000	0.210
Year	-1.000	0.192	0.054	0.038	0.096	0.359	0.138	-0.602	0.097	0.088	0.165	-0.055	0.124	-0.160	0.193	0.520	-0.003	0.000	0.165	0.173	0.210	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	Make	Model	Price	Year	Kilometer	Fuel Type	Transmission	Location	Color	Owner	Seller Type	Engine	Drivetrain	Length	Width	Height	Seating Capacity	Fuel Tank Capacity	Max Power bhp	Max Power rpm	Max Torque Nm	Max Torque rpm	Age of Car	Volume
0	Honda	Amaze 1.2 VX i-VTEC	505000.000	2017	87150.000	Petrol	Manual	Pune	Grey	First	Corporate	1198.000	FWD	3990.000	1680.000	1505.000	5.000	35.000	87.000	6000.000	109.000	4500.000	8	10088316000.000
1	Maruti Suzuki	Swift DZire VDI	450000.000	2014	75000.000	Diesel	Manual	Ludhiana	White	Second	Individual	1248.000	FWD	3995.000	1695.000	1555.000	5.000	42.000	74.000	4000.000	190.000	2000.000	11	10529721375.000
2	Hyundai	i10 Magna 1.2 Kappa2	220000.000	2011	67000.000	Petrol	Manual	Lucknow	Maroon	First	Individual	1197.000	FWD	3585.000	1595.000	1550.000	5.000	35.000	79.000	6000.000	112.762	4000.000	14	8863016250.000
3	Toyota	Glanza G	799000.000	2019	37500.000	Petrol	Manual	Mangalore	Red	First	Individual	1197.000	FWD	3995.000	1745.000	1510.000	5.000	37.000	82.000	6000.000	113.000	4200.000	6	10526625250.000
4	Toyota	Innova 2.4 VX 7 STR [2016-2020]	1950000.000	2018	69000.000	Diesel	Manual	Mumbai	Grey	First	Individual	2393.000	RWD	4735.000	1830.000	1795.000	7.000	55.000	148.000	3400.000	343.000	1400.000	7	15553764750.000
5	Maruti Suzuki	Ciaz ZXi	675000.000	2017	73315.000	Petrol	Manual	Pune	Grey	First	Individual	1373.000	FWD	4490.000	1730.000	1485.000	5.000	43.000	91.000	6000.000	130.000	4000.000	8	11535034500.000
6	Mercedes-Benz	CLA 200 Petrol Sport	1898999.000	2015	47000.000	Petrol	Automatic	Mumbai	White	Second	Individual	1991.000	FWD	4630.000	1777.000	1432.000	5.000	50.000	181.000	5500.000	300.000	1200.000	10	11781794320.000
7	BMW	X1 xDrive20d M Sport	2650000.000	2017	75000.000	Diesel	Automatic	Coimbatore	White	Second	Individual	1995.000	AWD	4439.000	1821.000	1612.000	5.000	51.000	188.000	4000.000	400.000	1750.000	8	13030471428.000
8	Skoda	Octavia 1.8 TSI Style Plus AT [2017]	1390000.000	2017	56000.000	Petrol	Automatic	Mumbai	White	First	Individual	1798.000	FWD	4670.000	1814.000	1476.000	5.000	50.000	177.000	5100.000	250.000	1250.000	8	12503756880.000
9	Nissan	Terrano XL (D)	575000.000	2015	85000.000	Diesel	Manual	Mumbai	White	First	Individual	1461.000	FWD	4331.000	1822.000	1671.000	5.000	50.000	84.000	3750.000	200.000	1900.000	10	13185998022.000

	Make	Model	Price	Year	Kilometer	Fuel Type	Transmission	Location	Color	Owner	Seller Type	Engine	Drivetrain	Length	Width	Height	Seating Capacity	Fuel Tank Capacity	Max Power bhp	Max Power rpm	Max Torque Nm	Max Torque rpm	Age of Car	Volume
2049	Mercedes-Benz	GLS 400 4MATIC	5950000.000	2017	80000.000	Petrol	Automatic	Delhi	Black	First	Individual	2996.000	AWD	5130.000	1934.000	1850.000	5.000	100.000	329.000	5250.000	480.000	1600.000	8	18354627000.000
2050	Hyundai	Creta SX Plus 1.6 Petrol	891000.000	2016	47000.000	Petrol	Manual	Delhi	White	First	Individual	1591.000	FWD	4270.000	1780.000	1630.000	5.000	60.000	122.000	6400.000	154.000	4850.000	9	12388978000.000
2051	Maruti Suzuki	Vitara Brezza VXi	925000.000	2021	48000.000	Petrol	Manual	Bangalore	White	First	Individual	1462.000	FWD	3995.000	1790.000	1640.000	5.000	48.000	103.000	6000.000	138.000	4400.000	4	11727722000.000
2052	Hyundai	i20 Sportz 1.4 CRDI	409999.000	2014	68000.000	Diesel	Manual	Agra	Silver	First	Individual	1396.000	FWD	3940.000	1710.000	1505.000	5.000	45.000	90.000	4000.000	220.000	1750.000	11	10139787000.000
2053	Maruti Suzuki	Ritz Vxi (ABS) BS-IV	245000.000	2014	79000.000	Petrol	Manual	Faridabad	White	Second	Individual	1197.000	FWD	3775.000	1680.000	1620.000	5.000	43.000	85.000	6000.000	113.000	4500.000	11	10274040000.000
2054	Mahindra	XUV500 W8 [2015-2017]	850000.000	2016	90300.000	Diesel	Manual	Surat	White	First	Individual	2179.000	FWD	4585.000	1890.000	1785.000	7.000	70.000	138.000	3750.000	330.000	1600.000	9	15468185250.000
2055	Hyundai	Eon D-Lite +	275000.000	2014	83000.000	Petrol	Manual	Ahmedabad	White	Second	Individual	814.000	FWD	3495.000	1550.000	1500.000	5.000	32.000	55.000	5500.000	75.000	4000.000	11	8125875000.000
2056	Ford	Figo Duratec Petrol ZXI 1.2	240000.000	2013	73000.000	Petrol	Manual	Thane	Silver	First	Individual	1196.000	FWD	3795.000	1680.000	1427.000	5.000	45.000	70.000	6250.000	102.000	4000.000	12	9097981200.000
2057	BMW	5-Series 520d Luxury Line [2017-2019]	4290000.000	2018	60474.000	Diesel	Automatic	Coimbatore	White	First	Individual	1995.000	RWD	4936.000	1868.000	1479.000	5.000	65.000	188.000	4000.000	400.000	1750.000	7	13637042592.000
2058	Mahindra	Bolero Power Plus ZLX [2016-2019]	670000.000	2017	72000.000	Diesel	Manual	Guwahati	White	First	Individual	1493.000	RWD	3995.000	1745.000	1880.000	7.000	50.000	70.000	3600.000	195.000	1400.000	8	13105997000.000

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts